Split 'date_time' into 'day' and 'hour' columns

Add 'season' column

Logarithmic sensors distributions

PCA for sensors

Distributions

Distributions for dataset after normalization

Distributions with respect for seasons

Search for outliers with boxplots

Add 'month' column

Correlograms

A bit closer look at autocorrelation plots

Moving average (n)

Let's try to catch anomalies

trying to make them look more "stationary"

Merging outliers from boxplots and MA(n)